Data-Driven Exploration of Factors Affecting Federal Student Loan Repayment

Student loans occupy a significant portion of the federal budget, as well as, the largest financial burden in terms of debt for graduates. This paper explores data-driven approaches towards understanding the repayment of such loans. Using statistical and machine learning models on the College Scorec...

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Veröffentlicht in:	arXiv.org 2018-05
Hauptverfasser:	Luo, Bin, Zhang, Qi, Mohanty, Somya D
Format:	Artikel
Sprache:	eng
Schlagworte:	Colleges & universities Federal budget Machine learning Repayments Student loans
Online-Zugang:	Volltext
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